Modeling relational events via latent classes. - Christopher DuBois; Padhraic Smyth (KDD, 2010)

Latent Set Models for Two-Mode Network Data. - Christopher DuBois; James R. Foulds; Padhraic Smyth (ICWSM, 2011)

A Dynamic Relational Infinite Feature Model for Longitudinal Social Networks. - James R. Foulds; Christopher DuBois; Arthur U. Asuncion; Carter T. Butts; Padhraic Smyth (AISTATS, 2011)

Statistical Models for Exploring Individual Email Communication Behavior. - Nicholas Navaroli; Christopher DuBois; Padhraic Smyth (ACML, 2012)

Stochastic blockmodeling of relational event dynamics. - Christopher DuBois; Carter T. Butts; Padhraic Smyth (AISTATS, 2013)

Stochastic collapsed variational Bayesian inference for latent Dirichlet allocation. - James R. Foulds; Levi Boyles; Christopher DuBois; Padhraic Smyth; Max Welling (KDD, 2013)

Windows into Relational Events: Data Structures for Contiguous Subsequences of Edges. - Michael J. Bannister; Christopher DuBois; David Eppstein; Padhraic Smyth (SODA, 2013)

Modeling individual email patterns over time with latent variable models. - Nicholas Navaroli; Christopher DuBois; Padhraic Smyth (Mach. Learn., 2013)

Approximate Slice Sampling for Bayesian Posterior Inference. - Christopher DuBois; Anoop Korattikara Balan; Max Welling; Padhraic Smyth (AISTATS, 2014)

Collaborative Denoising Auto-Encoders for Top-N Recommender Systems. - Yao Wu; Christopher DuBois; Alice X. Zheng; Martin Ester (WSDM, 2016)

Covariance evaluation by means of uncertainty assessment. - Christopher DuBois; Laurent Leblond; Jean-Michel Pou; Alessandro Ferrero (IEEE Instrum. Meas. Mag., 2016)

Smart metrology: the importance of metrology of decisions in the big data era. - Annarita Lazzari; Jean-Michel Pou; Christopher DuBois; Laurent Leblond (IEEE Instrum. Meas. Mag., 2017)

An Exploration of Data Augmentation and Sampling Techniques for Domain-Agnostic Question Answering. - Shayne Longpre; Yi Lu 021; Zhucheng Tu; Chris DuBois (MRQA@EMNLP, 2019)

Tempura: Query Analysis with Structural Templates. - Tongshuang Wu; Kanit Wongsuphasawat; Donghao Ren; Kayur Patel; Chris DuBois (CHI, 2020)

How Effective is Task-Agnostic Data Augmentation for Pretrained Transformers? - Shayne Longpre; Yu Wang; Chris DuBois (EMNLP (Findings), 2020)

Pivot Through English: Reliably Answering Multilingual Questions without Document Retrieval. - Ivan Montero; Shayne Longpre; Ni Lao; Andrew J. Frank; Christopher DuBois (CoRR, 2020)

Entity-Based Knowledge Conflicts in Question Answering. - Shayne Longpre; Kartik Perisetla; Anthony Chen; Nikhil Ramesh; Chris DuBois; Sameer Singh 001 (EMNLP (1), 2021)

On the Transferability of Minimal Prediction Preserving Inputs in Question Answering. - Shayne Longpre; Yi Lu 021; Chris DuBois (NAACL-HLT, 2021)

Combining Compressions for Multiplicative Size Scaling on Natural Language Tasks. - Rajiv Movva; Jinhao Lei; Shayne Longpre; Ajay Gupta; Chris DuBois (COLING, 2022)

Active Learning Over Multiple Domains in Natural Language Tasks. - Shayne Longpre; Julia Reisler; Edward Greg Huang; Yi Lu 021; Andrew J. Frank; Nikhil Ramesh; Chris DuBois (CoRR, 2022)